VP, Product Data Remote

Every mind is unique. Yet much of the world is still built for what’s considered "normal," leaving too many people behind. At Everway, we change that by creating technology that helps everyone understand and be understood. By understanding and addressing the unique needs of each individual, we're creating a world where differences are recognized and valued.

Our careers fit real life. When you join us, you’re not just taking a job. You’re joining a movement to build a more neuroinclusive world. We’re a global community of over 800 employees spanning North America, UK, Europe, Australia, and New Zealand. A career here is purposeful and fast-moving, with clear expectations, modern tools, and the clarity to focus on what matters most.

Our people are supported and encouraged to show up as they are, with different ways of thinking welcomed and valued. We pride ourselves on our core values that are embedded within our culture. These are to be curious, have courage, and commit fully
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Join us at Everway - together, we can unlock the full potential of every mind.

About the role

Everway’s products support learners with diverse needs, but today we lack consistent visibility into how they’re used, their impact, and where they can improve. This role exists to build that capability.

We’re looking for a VP, Product Data to define how product telemetry is captured, modelled, and turned into trusted, governed data products. You’ll go beyond traditional product analytics—owning the telemetry strategy, establishing shared data models across a multi-product portfolio, and enabling both internal decision-making and customer-facing insights.

You’ll work across complex products (e.g., assistive tech, accessibility tools) where defining meaningful usage and connecting it to learner outcomes is key, while also building the data foundation for customer-facing insights that position usage transparency and outcomes measurement as a core part of our product offering. Partnering closely with Data Engineering, Analytics, and Product leadership, you’ll play a hands‑on role in building and scaling this capability.

• Define and lead the product data strategy, anchored in key business and product decisions
• Own the telemetry platform strategy, including event pipeline design into the Databricks lakehouse
• Establish instrumentation standards (event schemas, naming, versioning) across product teams
• Design and deliver governed product data products (datasets, metrics, dashboards)
• Build shared data models to unify product usage across a multi-product portfolio
• Enable customer‑facing insights and usage transparency as part of the product experience
• Evaluate and implement product analytics tooling aligned to platform and governance standards
• Partner with Data Engineering and Analytics on pipelines, data contracts, and consumption
• Work closely with Product teams to define success metrics and measurement frameworks
• Deliver actionable insights linking product usage to business and learner outcomes
• Enable self‑service through shared metrics, documentation, and dashboards
• Build and scale a small, high‑impact product data team
• 5+ years in product data, product analytics, or analytics engineering in a SaaS/tech environment
• Experience defining product instrumentation and telemetry architecture at scale
• Experience building or owning event pipelines (first‑party telemetry preferred)
• Strong partnership with Product and Engineering on metrics and measurement
• Experience creating governed, reusable data assets from product data
• Hands‑on experience with modern data platforms (e.g., Databricks, Snowflake)
• Strong SQL and Python skills across data pipelines and analysis
• Experience leading small, high‑performing teams
• Strong communication skills and ability to influence across technical and business stakeholders
• Experience with product analytics tools (e.g., Amplitude, Pendo, Gainsight PX)
• Experience with AI/ML applied to product or behavioural data
• Experience measuring non‑traditional product interactions (e.g., accessibility tools)
• Experience delivering customer‑facing analytics or usage insights
• Experience working across multi‑product or M&A environments
• Experien…